# Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks

arXiv: https://arxiv.org/abs/1510.07641 · HTML: https://mlsanity.com/paper/1510.07641/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Oct 2015.

## Built on by (most cited first, 2 of 2)

- [Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series](https://mlsanity.com/paper/2107.14293/) (2021)
- [Effective Medical Code Prediction via Label Internal Alignment](https://mlsanity.com/paper/2305.05162/) (2023)

## Abstract (arXiv)

We present a novel application of LSTM recurrent neural networks to multilabel classification of diagnoses given variable-length time series of clinical measurements. Our method outperforms a strong baseline on a variety of metrics.